AI Platform & Business AI Solutions Lead – Mobility Aftermarket
On-site · Shanghai, Shanghai, China
Shanghai, Shanghai, ChinaOn-siteFull TimeSenior LevelNot SpecifiedEnterprise
Type
Full Time
Level
Senior Level
Education
Not Specified
Company size
Enterprise
Job Summary
Lead development and operation of enterprise AI platforms and knowledge systems for Bosch Mobility Aftermarket, coordinating AI deployment, RAG architectures, and knowledge-empowered decision support across sales, supply chain, product data, and service operations; drive AI quality engineering, governance, and innovation enablement with close collaboration with business stakeholders; ensure explainability, privacy, and traceability in enterprise AI deployments.
Required Qualifications
- 5-10 Years of experience in AI Engineering & Platform Knowledge
- Experience with LangChain / LangGraph / GraphRAG, Vector databases, RAG architectures, LLM evaluation frameworks
- Experience in MLOps / LLMOps, CI/CD for AI, Model monitoring, Drift detection
- Strong Python skills
- Knowledge of embedding strategies
- Retrieval optimization and evaluation metrics
- Experience designing enterprise knowledge bases
- Understanding of automotive or industrial business environments (preferred)
- Experience with enterprise processes such as Order-to-Cash (O2C), Source-to-Pay (S2P), Supply Chain, or Master Data
- Ability to translate business knowledge into AI-driven knowledge systems
- Experience supporting business-facing AI platforms or knowledge assistants
- Strong stakeholder communication skills across technical and business teams
- 5-10 Years of experience in AI Engineering & Platform Knowledge
- Experience with: LangChain / LangGraph / GraphRAG, Vector databases, RAG architectures, LLM evaluation frameworks
- Experience in: MLOps / LLMOps, CI/CD for AI, Model monitoring, Drift detection
- Automation & DevOps
- Experience building scalable pipelines
- Strong Python skills
- Knowledge Systems Thinking
- Experience designing enterprise knowledge bases
- Understanding of embedding strategies
- Retrieval optimization and evaluation metrics
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